Product Designer, Enterprise
Speak
| Company | Speak |
| Category | Design |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 160k–260k |
| Posted | 26 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT US
Our mission is to reinvent the way people learn, starting with language.
Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.
Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
ABOUT THE DESIGN TEAM
We’re a small, high-craft team of six working at the intersection of research, invention, and product thinking. We build consumer and B2B experiences used by millions across 150+ markets — and a lot of the work is genuinely novel: inventing how someone talks to an AI tutor, what feedback feels like when you’re learning out loud, and how progress should be measured and celebrated.
We stay close to learners through prototyping, interviews, betas, and experiments. We take craft seriously, iterate fast, and value a high-trust critique-and-build culture. We have something to prove — and design awards to win.
ROLE & RESPONSIBILITIES
Speak’s enterprise product is still early, but the problem is big: companies need to know whether their teams are actually building language proficiency, where learners are getting stuck, and what interventions will help. You’ll help define the tools they use to launch programs, understand progress, spot risks, and prove that language learning is working.
- Shape the strategy and design of our company-facing product — the admin, reporting, and account experiences the L&D managers who buy Speak rely on to launch, run, and prove their programs
- Turn complex learner progress, proficiency, and risk signals into reporting that L&D leaders can trust, understand, and act on
- Set the design foundation for a surface that's still early — closer to 0-to-1 than operating a mature product
- Quickly set up prototypes in AI tools or code to communicate concepts, build alignment, and pressure-test real experiences
- Collaborate closely with Product, Engineering, GTM, and Customer Success — translating what customers need to buy, launch, renew, and expand into product experiences that actually work
- Feel comfortable and creative in a fast-paced, ambiguous startup environment
What you’d actually work on depends on staffing — we’ll figure that out together once we’ve seen your work and understand where you’d have the most fun and impact. We’re excited about proving outcomes leaders trust, making complex workflows feel easy, and making Speak the most effective solution on the market.
WHAT WE’RE LOOKING FOR
- 6+ years of product design experience. You have experience designing in both consumer and B2B contexts.
- B2B / enterprise SaaS craft. You've designed admin consoles, dashboards, reporting, and complex multi-user workflows — not just consumer surfaces — and you're comfortable with roles, permissions, and account models.
- Systems and platform thinking. You treat the enterprise surface as a platform, designing so the product carries work that's done by hand today, rather than one-off screens.
- You stay close to users. You think about real people learning real languages in real contexts. You actively seek out the people using the product — not j
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